Exploring litigation abuse in Ontario: An analysis of costs decisions
Bibliographic record
Abstract
Abstract Litigation abuse is a pattern of conduct that misuses the Family Court process in a way that could reasonably be expected to cause emotional or financial harm to the other party or their children which is greater than would occur with the proper use of the family justice process. Litigation abuse may be motivated by a perpetrator's desire to gain an unfair advantage in the litigation or to control a former partner, or may be the result of anger, vengeance, or mental health issues. Litigation abuse is a particular concern in cases of coercive controlling violence that may victimize women and their children, or in cases that involve parental alienation. Previous empirical research has mainly involved studies of women who report that they have been victims of litigation abuse, with one study focusing exclusively on male victims. No previous study has considered both men and women as possible victims (or perpetrators) of litigation abuse, or the perspectives of neutral professionals like judges for assessing whether there has been litigation abuse. This empirical research project is based on an analysis of Ontario Family Court decisions over a three‐year period dealing with litigation costs, which under provincial law may be awarded at a higher level against a party whom the judge considers acted unreasonably, vexatiously or in bad faith during litigation ( n = 222). Men were somewhat more likely to have engaged in litigation abuse than women (53% vs 47%). Self‐represented litigants were roughly twice as likely to engage in litigation abuse, though most cases of litigation abuse involved parties with lawyers. Women were more likely be victims of litigation abuse in economic cases, while men were more likely to be victims of litigation abuse in cases focused on parenting.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".